Coming Q3 2026 for Beta Partners

We tell you what to create.
We can also create it for you.

Our citation research tells you exactly which content is missing, which is decaying, and what structural patterns make content persist. The content production add-on turns those findings into published pages.

Content production is most powerful after weeks of citation data reveal exactly what to create. Beta partners get first access when this service launches.

Content informed by citation data, not keyword guesses

Research-informed briefs

Every piece we produce starts from your citation data. We know which prompts you're missing from, which competitors are getting cited, and what content features predict persistence.

Built for citation, not just ranking

Answer-first structure, definitive language, FAQ schema, entity density, comparison tables. Every structural decision is backed by our longitudinal research on what AI engines actually cite.

Measured against the data

We track whether the content we produce actually gets cited, by which engines, and for how long. No other content team closes this loop.

Four things we promise about every piece we produce

1. Every piece starts from citation data

We only produce content where the research shows a gap. No guessing, no keyword-stuffed blog posts, no content calendar based on hunches. If our data doesn't show a citation opportunity, we don't write it.

2. Every piece is built for persistence

Structurally optimized using the features our longitudinal research shows predict sustained citation: answer-first paragraphs, FAQ schema, definitive language, entity density, comparison tables.

3. Every piece is tracked against real performance

You'll know within 4 weeks if a page is getting cited, by which engines, and how it compares to competitors. No black box. No vanity metrics. Citation data or nothing.

4. If it's not working, we adjust

Pages that aren't getting cited get diagnosed: wrong structure? Wrong prompt target? Missing authority signals? We revise or redirect effort based on data, not opinion.

Content types that AI engines actually cite

Research shows these content types account for the majority of AI citations. We produce them with the structural elements that predict persistence.

Comparison pages

"X vs Y" content represents 32.5% of all LLM citations. We build these with side-by-side tables, definitive recommendations, and structured data.

Category definitions

"What is X" pages are the awareness-stage anchor. Direct answer in the first 50 words, Q&A structure, expert context below.

Alternative pages

"Best alternatives to X" captures decision-stage intent. Structured lists with specific criteria, not generic roundups.

FAQ content

FAQ blocks with FAQPage schema. Our research shows FAQ schema correlates with significantly longer citation persistence.

How-to guides

Step-by-step structure with HowTo schema. Answer-first, then detail. Specific enough to be cited as a standalone source.

Data-driven research

Original statistics and analysis that AI engines cite as authoritative. The kind of content that becomes a source for other sources.

Every piece includes

Answer-first opening (direct answer in first 50 words)
Question-based H2/H3 headings
FAQ block with FAQPage schema
Comparison tables where applicable
TL;DR summary boxes
Definitive language (no hedging)
Expert quotes from your SMEs
datePublished + dateModified schema

From citation gap to published page

1

Citation gap analysis

We use your research data to identify which prompts you're not cited on, what content types are missing, and what competitors are doing that you're not. The output is a prioritized content calendar: decision-stage first, then education, then awareness.

2

Briefing + SME interviews

Detailed content briefs with target prompt, answer structure, and competitive landscape. We conduct 30-minute interviews with your subject matter experts to capture unique angles that AI-generated content can't replicate.

3

Production

Human-written, structurally optimized for citation. Schema markup implemented. Internal linking strategy applied. Internal review plus your approval before anything goes live.

4

Distribution support

Publish to your CMS. Repurposing plan for LinkedIn, email, and community channels. Off-site placement recommendations for where AI engines source citations in your vertical.

5

Track + refresh

Citation tracking begins immediately on publish. Monthly freshness updates for high-priority pages. Quarterly deep refresh sprints. Reporting: "This page was cited X times across Y engines in Z weeks."

Add production to your research program

Content production is an add-on to any beta research program. Without the citation data, we're just another content agency. With it, every piece is backed by longitudinal research.

Content Refresh

Fix what's decaying

  • Up to 8 page refreshes/month
  • Schema + structure optimization
  • Freshness updates
  • Citation tracking included

Active Production

Fill citation gaps

  • 4 new pieces/month
  • 4 refreshes/month
  • 2 SME interviews/month
  • Schema + structure optimization
  • Citation tracking included

Full Program

Fill gaps + earn off-site coverage

  • 6 new pieces/month
  • 8 refreshes/month
  • 4 SME interviews/month
  • Off-site placement support
  • Schema + structure optimization
  • Citation tracking included

Coming Q3 2026. Add-on to any beta research program. Requires active citation research subscription.

85% of AI citations come from pages you don't own. We tell you exactly where to show up.

When ChatGPT answers "best EDR for mid-market," it pulls from G2 reviews, Reddit threads, comparison articles on TechRadar, and analyst reports—not your homepage. Your own site accounts for roughly 23% of the citations you receive. The rest come from third-party sources that AI engines trust.

We can't fake that for you—and you wouldn't want us to. Communities and review platforms are cited precisely because they're authentic. What we can do is tell you exactly where to focus and prepare everything you need to show up.

What we prepare → what you do

1

Priority target list

We analyze our citation data to find exactly which third-party domains are cited for your target prompts and where you're missing. You decide which ones to pursue.

2

Review site profiles

We draft your G2, Capterra, and PeerSpot profile copy, structured for the language patterns AI engines prefer. You submit under your verified account.

3

Community playbook

We identify specific Reddit threads, LinkedIn discussions, and industry forums where AI engines source citations in your vertical. We draft talking points in your voice. You post as yourself.

4

Editorial pitch kit

We build a monthly list of niche publications, comparison articles, and roundup posts that appear in AI citations. We draft the outreach email and your expert quote. You send it from your inbox.

5

Measurement

We track whether your placements result in citations. "You were added to this G2 comparison page in week 4. By week 6, Perplexity was citing it for 3 of your prompts." You see exactly what worked.

What this is NOT

We don't post on your behalf. We don't ghostwrite Reddit comments. We don't send mass PR blasts. We do the research and prepare the materials. You show up as yourself—because that's what makes it work.

What we don't do

We don't produce AI-generated content. LLMs recognize and deprioritize generic AI text.
We don't do link building or backlink outreach.
We don't manage your CMS or run your blog operations.
We don't produce content without citation data to inform it—that's just guessing.

Start with the research. Add production when the data says what.

Content production launches for beta partners in Q3 2026. Start with the research program now—by the time production is available, you'll have months of citation data telling you exactly what to create.